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https://openreview.net/forum?id=DBBF7G4BMOj Shape-Tailored Deep Neural Networks With PDEs | OpenReview We present Shape-Tailored Deep Neural Networks (ST-DNN). ST-DNN are deep networks formulated through the use of partial differential equations (PDE) to be... deep neural networks shape tailored pdes openreview https://www.nist.gov/publications/use-gmap-software-pdes-environment-national-pdes-testbed-project-0 The use of GMAP software as a PDES environment in the national PDES testbed project: | NIST https://jmlr.org/papers/v26/25-1383.html Global Convergence of Adjoint-Optimized Neural PDEs global convergence adjoint optimized neural pdes https://www.tu-braunschweig.de/en/wire/teaching/previous-terms/summer-2016/numerical-methods-for-pdes Numerical Methods for PDEs numerical methods pdes https://openreview.net/forum?id=aUX5Plaq7Oy Learning continuous-time PDEs from sparse data with graph neural networks | OpenReview The behavior of many dynamical systems follow complex, yet still unknown partial differential equations (PDEs). While several machine learning methods have... graph neural networks continuous time https://jmlr.org/papers/v24/22-1075.html Neural Q-learning for solving PDEs q learning neural solving pdes https://www.aub.edu.lb/fas/math/Pages/research-applied.aspx PDEs and Numerical Analysis pdes numerical analysis https://openreview.net/forum?id=1J9xoPFaKU Neural oscillators for generalizing parametric PDEs | OpenReview Parametric partial differential equations (PDEs) are ubiquitous in various scientific and engineering fields, manifesting the behavior of systems under varying... neural oscillators generalizing parametric pdes https://openreview.net/forum?id=JbTenh2zqk Adaptive Multilevel Neural Networks for Parametric PDEs with Error Estimation | OpenReview To solve high-dimensional parameter-dependent partial differential equations (pPDEs), a neural network architecture is presented. It is constructed to map... neural networks adaptive multilevel https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2019/non-linear-reduced-modelling-parametric-pdes Non-linear reduced modelling for parametric PDEs non linear reduced modelling parametric pdes https://openreview.net/forum?id=g9olLDlaqH Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data | OpenReview Neural operators or emulators for PDEs trained on data from numerical solvers are conventionally assumed to be limited by their training data's fidelity. We... https://arxiv.org/abs/2312.05606 [2312.05606] Fractional Dissipative PDEs Abstract page for arXiv paper 2312.05606: Fractional Dissipative PDEs 2312 05606 fractional dissipative pdes https://www.pnnl.gov/publications/tackling-curse-dimensionality-fractional-and-tempered-fractional-pdes-physics-informed Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with... the curse of tackling dimensionality https://openreview.net/forum?id=5UJF5j86ti&referrer=%5Bthe%20profile%20of%20Xavier%20Warin%5D(%2Fprofile%3Fid%3D~Xavier_Warin1) Approximation error analysis of some deep backward schemes for nonlinear PDEs | OpenReview Recently proposed numerical algorithms for solving high-dimensional nonlinear partial dif- ferential equations (PDEs) based on neural networks have shown their... approximation error https://arxiv.org/abs/1412.1624 [1412.1624] On some linear parabolic PDEs on moving hypersurfaces Abstract page for arXiv paper 1412.1624: On some linear parabolic PDEs on moving hypersurfaces 1412 1624 linear parabolic pdes https://www.mathworks.com/matlabcentral/fileexchange/46465-parallel-implementation-of-the-picard-iteration-for-linear-bvp-pdes Parallel Implementation of the Picard Iteration For Linear BVP PDEs - File Exchange - MATLAB Central Download and share free MATLAB code, including functions, models, apps, support packages and toolboxes https://www.preprints.org/manuscript/202507.0785 Reduced Order Data-Driven Twin Models for Nonlinear PDEs by Randomized Koopman Orthogonal... This study presents a novel framework for constructing reduced-order, data-driven twin models for nonlinear partial differential equations, introducing the... https://www.analysispde.mat.ufs.br/home 8th Workshop on Analysis and PDEs 8th workshop analysis pdes https://arxiv.org/list/math.AP/recent?skip=93&show=25 Analysis of PDEs analysis pdes https://arxiv.org/abs/1607.08014 [1607.08014] The geometry of differential constraints for a class of evolution PDEs Abstract page for arXiv paper 1607.08014: The geometry of differential constraints for a class of evolution PDEs the geometry https://www.mapleprimes.com/questions/223157-Want-To-Draw-Of-The-Graph-Of-System-Of-PDEs Want to draw of the graph of system of PDEs - MaplePrimes want to of the draw graph system https://www.mapleprimes.com/questions/234558-Numerical-Schemes-For-Second-Order-Mixed Numerical schemes for second order mixed PDEs in maple - MaplePrimes second order numerical schemes mixed pdes https://trendpde.impa.br/ Trends in Analysis & PDEs trends analysis pdes https://arxiv.org/abs/2106.08900v1 [2106.08900v1] Random feature neural networks learn Black-Scholes type PDEs without curse of... Abstract page for arXiv paper 2106.08900v1: Random feature neural networks learn Black-Scholes type PDEs without curse of dimensionality https://rd.pdes-ch.org/ PDES Requirement Management System pdes requirement management system https://www.umass.edu/mathematics-statistics/events/some-recent-progress-integrable-pdes-0 Some recent progress on integrable PDEs : Department of Mathematics and Statistics : UMass Amherst In this talk, I will survey some recent work on the dynamics of solutions to integrable PDEs in translation-invariant spaces. department of mathematics https://www.uni-muenster.de/MathematicsMuenster/events/2021/new-trends-in-geometric-PDEs.shtml New Trends in Geometric PDEs new trends geometric pdes https://www.mdpi.com/2073-8994/7/4/1989 Centrally Extended Conformal Galilei Algebras and Invariant Nonlinear PDEs extended conformal galilei algebras invariant https://www.mdpi.com/2227-9091/8/4/136 A Deep Neural Network Algorithm for Semilinear Elliptic PDEs with Applications in Insurance... In insurance mathematics, optimal control problems over an infinite time horizon arise when computing risk measures. An example of such a risk measure is the... deep neural network https://www.kth.se/math/kalender/numerical-methods-for-pdes-and-their-applications-1.1339583?date=2024-06-03&orgdate=2024-02-13&length=1&orglength=0 Numerical Methods for PDEs and Their Applications | KTH numerical methods pdes applications kth https://arxiv.org/list/math.AP/2015-08?skip=0&show=25 Analysis of PDEs Aug 2015 analysis of pdes aug 2015 https://arxiv.org/abs/2407.09284 [2407.09284] A Deep BSDE approximation of nonlinear integro-PDEs with unbounded nonlocal operators Abstract page for arXiv paper 2407.09284: A Deep BSDE approximation of nonlinear integro-PDEs with unbounded nonlocal operators https://www.wolfram.com/mathematica/new-in-10/pdes-and-finite-elements/solve-pdes-with-material-regions.html.en?footer=lang Solve PDEs with Material Regions: New in Mathematica 10 new in solve pdes material regions https://sites.google.com/view/pdesinaction/informations PDEs in Action - Informations Conference Venue Department of Mathematics in action pdes informations https://www.oregon.gov/oha/PH/PROVIDERPARTNERRESOURCES/EVALUATIONRESEARCH/PROGRAMDESIGNANDEVALUATIONSERVICES/Pages/Measuring-Social-Resilience.aspx Oregon Health Authority : PDES Investigates Methods for Measuring Social Resilience : Program... PDES Investigates Methods for Measuring Social Resilience oregon health authority social resilience pdes investigates https://www.sintef.no/projectweb/evita/2004/ 2004: Evolutionary PDEs 2004 evolutionary pdes https://openreview.net/forum?id=MtekhXRP4h Convolutional Neural Operators for robust and accurate learning of PDEs | OpenReview Although very successfully used in conventional machine learning, convolution based neural network architectures -- believed to be inconsistent in function... neural operators robust https://arxiv.org/list/math.AP/pastweek?skip=25&show=25 Analysis of PDEs analysis pdes https://arxiv.org/list/math.AP/recent?skip=62&show=25 Analysis of PDEs analysis pdes https://arxiv.org/html/2507.12385v1 Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions https://pdemathbio.sciencesconf.org/ Workshop on PDEs and Mathematical Biology - Sciencesconf.org mathematical biology workshop pdes https://www.umass.edu/mathematics-statistics/events/some-recent-progress-integrable-pdes Some recent progress on integrable PDEs : Department of Mathematics and Statistics : UMass Amherst Integrable PDEs arise as leading-order models in an astoundingly wide range of physical scenarios, such as fluid dynamics, ferromagnetism, and nonlinear... department of mathematics https://www.kth.se/math/kalender/phd-course-nonlinear-pdes-and-free-boundaries-1.1351903?date=2024-09-03&orgdate=2024-02-13&length=1&orglength=0 PhD Course: Nonlinear PDEs and free boundaries | KTH phd course nonlinear pdes free boundaries https://openreview.net/forum?id=6wpInwnzs8 WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs | OpenReview Wave-based imaging techniques play a critical role in diverse scientific, medical, and industrial endeavors, from discovering hidden structures beneath the... data driven wave propagation benchmarking solvers https://www.preprints.org/manuscript/201901.0330 An Efficient Local Formulation for Time-Dependent PDEs[v1] | Preprints.org In this paper, a local meshless method (LMM) based on radial basis functions (RBFs) is utilized for the numerical solution of various types of PDEs, due to the... for time efficient local formulation https://warwick.ac.uk/fac/sci/maths/research/events/seminars/areas/pdesandgeometry/ PDEs and Geometry pdes geometry https://www.sintef.no/projectweb/evita/2003/ 2003: Nonlinear PDEs 2003 nonlinear pdes https://www.sfu.ca/physics/news-events/events/2025/nov/event2.html Developing mechanobiochemical models using geometric bulk-surface PDEs for cell migration in... https://www.kth.se/math/kalender/igor-tominec-stability-aspects-of-radial-basis-function-methods-for-solving-pdes-1.1278900?date=2023-09-20&orgdate=2023-06-04&length=1&orglength=0 Igor Tominec: Stability Aspects of Radial Basis Function Methods for Solving PDEs | KTH radial basis function https://openreview.net/forum?id=rY6mQMW8nS EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs | OpenReview Deep learning surrogates for 3D Partial Differential Equations (PDEs) often fail to generalize across geometric transformations because they depend heavily on... neural operators equivariant geometry informed fourier https://www.umass.edu/mathematics-statistics/events/jiequn-han-deep-picard-iteration-solving-high-dimensional-pdes-regression-based-learning Jiequn Han: Deep Picard Iteration: Solving High-Dimensional PDEs via Regression-Based Learning :... https://www.mapleprimes.com/questions/240660-How-Separate-Linear-And-Nonlinear-Of How separate linear and nonlinear of pdes which contain two function? - MaplePrimes https://www.pdes-ch.org/ PDES Collaboration Hub pdes collaboration hub https://arxiv.org/abs/1403.4500 [1403.4500] An abstract framework for parabolic PDEs on evolving spaces Abstract page for arXiv paper 1403.4500: An abstract framework for parabolic PDEs on evolving spaces 1403 4500 abstract framework https://arxiv.org/list/math.AP/2020-08?skip=100&show=25 Analysis of PDEs Aug 2020 analysis of pdes aug 2020 https://studylib.net/doc/25565885/local-media3723189894258334499 Numerical Methods: Trapezoidal Rule, Parabolic PDEs, Shooting Method Lecture notes covering numerical integration (Trapezoidal Rule), parabolic PDEs, and the shooting method for ODEs. Includes examples and problems. numerical methods trapezoidal rule parabolic pdes shooting https://www.imperial.ac.uk/ammp/seminars--events/ammp-research-group-seminars/applied-pdes-seminar/ Applied PDEs Seminar | Faculty of Natural Sciences | Imperial College London Applied PDEs Seminar faculty of natural sciences imperial college applied pdes seminar https://warwick.ac.uk/fac/sci/maths/research/events/2016-17/symposium/npde/ One day meeting in Nonlinear PDEs one day meeting nonlinear pdes https://arxiv.org/abs/2601.03668 [2601.03668] Discontinuous Galerkin finite element operator network for solving non-smooth PDEs Abstract page for arXiv paper 2601.03668: Discontinuous Galerkin finite element operator network for solving non-smooth PDEs https://www.kth.se/math/kalender/master-thesis-project-numerical-solutions-of-semilinear-elliptic-pdes-and-optimal-control-problems-1.1375731?date=2024-12-13&orgdate=2024-02-13&length=1&orglength=0 Master thesis project: Numerical Solutions of Semilinear Elliptic PDEs and Optimal Control Problems... Abstract: This thesis addresses the topic of semilinear partial differential equations (PDEs) with homogeneous Dirichlet boundary conditions. At first, the... https://arxiv.org/list/math.AP/2024-09?skip=50&show=50 Analysis of PDEs Sep 2024 analysis of pdes sep 2024 https://arxiv.org/abs/2307.04110v2 [2307.04110v2] Learning Space-Time Continuous Neural PDEs from Partially Observed States Abstract page for arXiv paper 2307.04110v2: Learning Space-Time Continuous Neural PDEs from Partially Observed States learning space https://www.mapleprimes.com/questions/237339-Error-In-System-Of-Pdes--Equations- Error in system of Pdes equations - MaplePrimes error system pdes equations https://www.cms.gov/medicare/prescription-drug-coverage/prescriptiondrugcovcontra/hpms-guidance-history-items/cms1185015 Modified Q&A Addressing Drug Costs Reported on Prescription Drug Events (PDEs) | CMS q a drug costs https://arxiv.org/abs/2510.01370 [2510.01370] SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs Abstract page for arXiv paper 2510.01370: SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs https://arxiv.org/abs/1806.10593 [1806.10593] Simple Second-Order Finite Differences for Elliptic PDEs with Discontinuous... Abstract page for arXiv paper 1806.10593: Simple Second-Order Finite Differences for Elliptic PDEs with Discontinuous Coefficients and Interfaces second order finite differences https://arxiv.org/list/math.AP/recent?skip=35&show=50 Analysis of PDEs analysis pdes https://arxiv.org/list/math.AP/pastweek?skip=75&show=25 Analysis of PDEs analysis pdes https://arxiv.org/list/math.AP/new Analysis of PDEs analysis pdes https://openreview.net/forum?id=MZPGZsuwqr A neural multilevel method for high-dimensional parametric PDEs | OpenReview In scientific machine learning, neural networks recently have become a popular tool for learning the solutions of differential equations. However, practical... high dimensional neural multilevel method parametric https://arxiv.org/list/math.AP/2020-08?skip=350&show=25 Analysis of PDEs Aug 2020 analysis of pdes aug 2020 https://www.jmlr.org/beta/papers/v24/22-1075.html Neural Q-learning for solving PDEs q learning neural solving pdes https://www.wolfram.com/wolfram-u/courses/mathematics/2025-colloquium-fem/ Numerical Methods for PDEs and Their Applications: Wolfram U Colloquium Colloquium focuses on recent work in numerical methods by research experts. Additional presentation by Wolfram Language developer on how finite element method... numerical methods pdes applications wolfram colloquium https://www.mathworks.com/help/pde/pde-problem-setup.html?s_tid=CRUX_lftnav General PDEs - MATLAB & Simulink Solve general linear and nonlinear PDEs for stationary, time-dependent, and eigenvalue problems general pdes matlab simulink https://sites.google.com/view/anomaliesinpdes Anomalies in PDEs 2026 Anomalies in PDEs is a conference within the framework of the research project Anomalies in partial differential equations and applications. It focuses on... anomalies pdes 2026 https://openreview.net/forum?id=vFATIZXlCm UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs | OpenReview Numerical solvers of Partial Differential Equations (PDEs) are of fundamental significance to science and engineering. To date, the historical reliance on... https://sites.google.com/view/pdesinaction/contact PDEs in Action - Contact Contact Information: Prof. Tirthankar Bhattacharyya, Department of Mathematics, IISc Bangalore. Email: pdesinaction@gmail.com in action pdes https://openreview.net/forum?id=ZZTkLDRmkg BENO: Boundary-embedded Neural Operators for Elliptic PDEs | OpenReview Elliptic partial differential equations (PDEs) are a major class of time-independent PDEs that play a key role in many scientific and engineering domains such... neural operators beno boundary embedded elliptic https://arxiv.org/list/math.AP/pastweek?skip=100&show=25 Analysis of PDEs analysis pdes https://sites.google.com/view/pdesinaction/application PDEs in Action - Application Interested Participants are required to fill the application form through the google form with their latest CV. Selected participants will be informed by an... in action pdes application https://www.kth.se/math/kalender/phd-course-nonlinear-pdes-and-free-boundaries-1.1351903?date=2024-09-03&orgdate=2024-05-15&length=1&orglength=0 PhD Course: Nonlinear PDEs and free boundaries | KTH phd course nonlinear pdes free boundaries https://www.kth.se/math/kalender/malte-braack-the-concept-of-mapped-coercivity-for-nonlinear-pdes-1.1316627?date=2024-03-21&orgdate=2024-02-13&length=1&orglength=0 Malte Braack: The concept of mapped coercivity for nonlinear PDEs | KTH the concept malte https://www.wolfram.com/language/11/partial-differential-equations/interactively-solve-and-visualize-pdes.html.en?footer=lang Interactively Solve and Visualize PDEs: New in Wolfram Language 11 new in wolfram language interactively solve visualize https://www.cms.gov/medicare/prescription-drug-coverage/prescriptiondrugcovcontra/hpms-guidance-history-items/cms064351 Q&A Addressing Drug Costs Reported on Prescription Drug Events (PDEs) | CMS q a drug costs addressing https://openreview.net/forum?id=SytuCWihJr¬eId=XmZ6lPDtRc CHAROT: Robustly controlling chaotic PDEs with partial observations | OpenReview Control of chaotic partial differential equations is challenging but valuable, with far-reaching applications in energy systems, economics, fluid dynamics and... controlling chaotic pdes partial observations https://arxiv.org/abs/1408.3657 [1408.3657] Evolution PDEs and augmented eigenfunctions. Half-line Abstract page for arXiv paper 1408.3657: Evolution PDEs and augmented eigenfunctions. Half-line 1408 3657 evolution pdes augmented https://crossfields.impan.pl/ CrossFields PDEs pdes https://sites.google.com/view/pdesinaction/programme PDEs in Action - Programme in action pdes programme https://www.wolfram.com/language/11/core-geometry/symbolic-pdes-over-regions.html.en?footer=lang Symbolic PDEs over Regions: New in Wolfram Language 11 new in wolfram language symbolic pdes regions https://sites.google.com/uniroma1.it/wsmor/home Low rank and MOR for PDEs About the workshop This workshop focuses on recent advances in low-rank techniques and model order reduction methods for the numerical approximation of partial... low rank mor pdes https://pde-on-gpu.vaw.ethz.ch/ Solving PDEs in parallel on GPUs with Julia in parallel solving pdes gpus julia https://www.nist.gov/publications/product-data-exchangethe-pdes-project-status-and-objectives Product data exchange::the PDES project status and objectives | NIST product data exchange project status pdes objectives nist https://pde.upc.edu/ PDEs & Applications pdes applications https://arxiv.org/abs/2104.02903 [2104.02903] A Priori Analysis of Stable Neural Network Solutions to Numerical PDEs Abstract page for arXiv paper 2104.02903: A Priori Analysis of Stable Neural Network Solutions to Numerical PDEs https://openreview.net/forum?id=4jEjq5nhg1 Operator Learning with Neural Fields: Tackling PDEs on General Geometries | OpenReview Machine learning approaches for solving partial differential equations require learning mappings between function spaces. While convolutional or graph neural... operator learning neural fields https://www.southampton.ac.uk/research/projects/unifying-probabilistic-computation-for-pdes-linear-systems Unifying Probabilistic Computation for PDEs and Linear Systems | University of Southampton Unifying Probabilistic Computation for PDEs and Linear Systems. probabilistic computation linear systems university of pdes https://arxiv.org/abs/2603.03112v1 [2603.03112v1] From Complex Dynamics to DynFormer: Rethinking Transformers for PDEs Abstract page for arXiv paper 2603.03112v1: From Complex Dynamics to DynFormer: Rethinking Transformers for PDEs complex dynamics 2603 https://nepdef.math.unipd.it/ Nonlinear Evolution PDEs and Fluid-dynamics nonlinear evolution pdes fluid dynamics https://www.wolfram.com/mathematica/new-in-10/pdes-and-finite-elements/ PDEs and Finite Elements: New in Mathematica 10 Mathematica 10 extends its numerical differential equation-solving capabilities to include the finite element method. finite elements pdes new mathematica 10 https://github.com/lukebhan/PDEControlGym GitHub - lukebhan/PDEControlGym: This gym provides implementations of various PDEs for easy testing... This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms. - GitHub -...